7 results on '"Droogers, Peter"'
Search Results
2. Inverse Modeling to Quantify Irrigation System Characteristics and Operational Management
- Author
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Ines, Amor Valeriano M. and Droogers, Peter
- Subjects
Hydrology ,Remote sensing - Abstract
Remotely sensed (RS) data is a major source to obtain spatial data required for hydrological models. The challenge for the future is to obtain besides the more direct observable data (landcover, leaf area index, digital elevation model and evapotranspiration), non-visible data such as soil characteristics, groundwater depth and irrigation practices.In this study we have explore the option of using inverse modeling to obtain these non-RS-visible data. For a command area in Haryana, India, we applied for the 2000–2001 rabi season a RS-GIS-combined inverse modeling approach to derive non-RS-visible data required in the regional application of hydrological models. A Genetic Algorithm loaded stochastic physically based soil-water-atmosphere-plant model (SWAP) was developed for the inverse problem and used in the study. The results showed good agreement with the inventoried data such as soil hydraulic properties, sowing dates, ground water depths, irrigation practices and water quality. The derived data could be used to predict the state of the system at anytime in the cropping season, which can be used to evaluate operational management strategies.
- Published
- 2002
- Full Text
- View/download PDF
3. Estimating productivity of water at different spatial scales using simulation modeling
- Author
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Droogers, Peter and Kite, Geoff
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Productivity Analysis ,Water resources ,River basins ,Agricultural Finance ,Production Economics ,Water scarcity ,Cropping systems ,Economic analysis ,Cotton ,Simulation models ,Crop Production/Industries ,Water supply ,Performance indexes ,Indicators ,Crop yield ,Agribusiness ,Environmental Economics and Policy ,Hydrology ,Water balance ,Research Methods/ Statistical Methods ,Productivity - Abstract
A clear understanding of the current water balance is required to explore options for water saving measures. However, measurement of all the terms in the water balance is infeasible in terms of spatial and temporal scale, but hydrological simulation models can fill the gap between measured and required data. For a basin in Western Turkey, simulation modeling at three different scales, field, irrigation scheme and basin scale, was performed to obtain all terms of the water balance. These water balance numbers were used to calculate the Productivity of Water at the three spatial levels distinguished to assess the performance of the systems.
- Published
- 2001
- Full Text
- View/download PDF
4. Simulation modelling for water governance in basins.
- Author
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Droogers, Peter and Bouma, Johan
- Subjects
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SIMULATION methods & models , *SUSTAINABLE development , *WATER resources development , *WATER supply , *FOOD supply , *CLIMATE change - Abstract
Accelerating future water shortages require development of operational water governance models, as illustrated by three case studies: (1) upstream–downstream interactions in the Aral Sea basin, where science acts as problem recognizer, emphasizing scoping policies; (2) impact and adaptation of climate change on water and food supply in the Middle East and North Africa, where science acts as a mediator between perspectives, emphasizing scoping and a start of implementation policies; and (3) green water credits in Kenya, where science acts as advocate, emphasizing scoping and implementation policies in close interaction with stakeholders, including impulses from applied to basic research. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
- View/download PDF
5. Translating soil science into environmental policy: A case study on implementing the EU soil protection strategy in The Netherlands
- Author
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Bouma, Johan and Droogers, Peter
- Subjects
SOIL protection ,ENVIRONMENTAL protection management ,WATER management ,CASE studies ,HYDROLOGY ,LOCAL government laws ,ENVIRONMENTAL policy ,ENVIRONMENTAL protection -- Social aspects - Abstract
The EU Commission has proposed a way forward towards a Thematic Strategy for Soil Protection based on the distinction of seven soil functions and eight threats. A Technical Working Group on Research defined some 200 general priority research areas in the context of the dynamic DPSIR approach considering drivers, pressures, states, impacts and responses. Though quite valuable as a source document, this may be too generic and academic to be a starting point for new, effective soil research in different regions of the EU. A six-step storyline procedure is therefore proposed aimed at deriving effective operational procedures for a water management unit in a given region, using available soil expertise and defining new research only where needed. The procedure, that was illustrated for a Dutch case study, consists of defining: (i) water management units (wmu''s) in a landscape context; (ii) land-use, area hydrology and soil functions (iii) soil threats and relevant soil qualities; (iv) drivers of land-use change and their future impact; (v) improvement of relevant soil qualities; (vi) possibilities to institutionalize soil quality improvement as part of the EU soil protection strategy. A focus on regional wmu''s is likely to result in a strong commitment of local stakeholders and governmental officials, allowing a more specific DPSIR approach. But this will only work if local officials also receive legal powers to develop and enforce codified ‘good practices’, to be developed in the context of communities of practice. Innovative research topics can be derived from a combined analysis of experiences within different communities of practice in different wmu's and should not be left to researchers to define. [Copyright &y& Elsevier]
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- 2007
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6. Remotely sensed data used for modelling at different hydrological scales.
- Author
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Droogers, Peter and Kite, Geoff
- Subjects
WATERSHEDS ,WATER supply ,HYDROLOGY ,WATER ,NATURAL resources - Abstract
There is a growing awareness that water will be one of the most critical natural resources and that there is a need for better management of the limited water resources. This paper reports on a study of a water-scarce river basin in western Turkey. Hydrological analyses, emphasizing water use for irrigation, are performed at three different spatial scales (field scale, irrigation scheme scale and basin scale) using two kind of model: a parametric basin-scale model and a physically based crop-scale model. Data accessibility for this basin, especially for areal data, was low. A combined use of public domain data sets and remotely sensed data was used to solve this problem. A public domain digital elevation model was used to generate the streamflow network and the distances and slopes to streams. Land-cover data and leaf area index data were derived from public domain NOAA?AVHRR images. For one irrigation scheme in the basin, detailed areal water balances were obtained from the simulation model and a comparison was made between a normal and a water-short year. At the basin scale, observed flows were compared with simulated flows. It is concluded that remotely sensed data and other public domain data can be used with simulation models at different scales to create a powerful tool to evaluate water resources in a basin context. [ABSTRACT FROM AUTHOR]
- Published
- 2002
- Full Text
- View/download PDF
7. Inverse modelling in estimating soil hydraulic functions: a Genetic Algorithm approach
- Author
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Ines, Amor Valeriano M. and Droogers, Peter
- Subjects
15. Life on land ,Hydrology ,6. Clean water - Abstract
The practical application of simulation models in the field is sometimes hindered by the difficulty of deriving the soil hydraulic properties of the study area. The procedure so-called inverse modelling has been investigated in many studies to address the problem where most of the studies were limited to hypothetical soil profile and soil core samples in the laboratory. Often, the numerical approach called forward-backward simulation is employed to generate synthetic data then added with random errors to mimic the real-world condition. Inverse modelling is used to backtrack the expected values of the parameters. This study explored the potential of a Genetic Algorithm (GA) to estimate inversely the soil hydraulic functions in the unsaturated zone. Lysimeter data from a wheat experiment in India were used in the analysis. Two cases were considered: (1) a numerical case where the forward-backward approach was employed and (2) the experimental case where the real data from the lysimeter experiment were used. Concurrently, the use of soil water, evapotranspiration (ET) and the combination of both were investigated as criteria in the inverse modelling. Results showed that using soil water as a criterion provides more accurate parameter estimates than using ET. However, from a practical point of view, ET is more attractive as it can be obtained with reasonable accuracy on a regional scale from remote sensing observations. The experimental study proved that the forward-backward approach does not take into account the effects of model errors. The formulation of the problem is found to be critical for a successful parameter estimation. The sensitivity of parameters to the objective function and their zone of influence in the soil column are major determinants in the solution. Generally, their effects sometimes lead to non-uniqueness in the solution but to some extent are partly handled by GA. Overall, it was concluded that the GA approach is promising to the inverse problem in the unsaturated zone.
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